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Commit c2349f58 authored by Gael MILLOT's avatar Gael MILLOT
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release v8.6: python dockerfiles added

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...@@ -71,6 +71,14 @@ Hub-CDB Institut Pasteur & DSI Institut Pasteur ...@@ -71,6 +71,14 @@ Hub-CDB Institut Pasteur & DSI Institut Pasteur
Use the gitlab tag of the docker image (e.g., gitlab_v5.0) to get the description of the modifications below Use the gitlab tag of the docker image (e.g., gitlab_v5.0) to get the description of the modifications below
### v8.6
Dockerfiles added: <br />
python\v3.6.8\base\v1.0 at date 20220504: FROM python:3.6.8
python\v3.6.8\serpentine\v1.0 at date 20220504: from gmillot/python_v3.8.6_base_v1.0:gitlab_v8.6
python\v3.9.10\extended\v3.0 at date 20220504: from gmillot/python_v3.9.10_extended_v2.0:gitlab_v8.4 with cyvcf2 package added
### v8.5 ### v8.5
Dockerfiles added: <br /> Dockerfiles added: <br />
......
python/v3.6.8/base/v1.0/Dockerfile 0 → 100644
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#########################################################################
## ##
## Dockerfile ##
## Python base ##
## ##
## Gael A. Millot ##
## Bioinformatics and Biostatistics Hub ##
## Computational Biology Department ##
## Institut Pasteur Paris ##
## ##
#########################################################################
# to see the log of the building:
# sudo docker run -ti --entrypoint bash <IMAGE_NAME>
# cat building.log
# to export the log file of the image building from the container:
# sudo docker images
# sudo docker run -ti --entrypoint bash <IMAGE_NAME>
# exit
# sudo docker container ls -a # to get all the active containers
# sudo docker cp <containerNAMES>:/building.log </host/path/target>
FROM python:3.6.8
LABEL Gael.Millot=gael.millot@pasteur.fr
LABEL gitlab.dockerfiles="https://gitlab.pasteur.fr/gmillot/dockerfiles"
RUN echo "\n\n\n\n================\n\nPIP PACKAGES INSTALLED\n\n================\n\n\n\n" >> /building.log \
&& pip list >> /building.log \
# end install the packages
# inactivated packages because are in the base installation
ENV LC_ALL en_US.UTF-8
ENV LANG en_US.UTF-8
ENV LANGUAGE en_US.UTF-8
ENV LC_NUMERIC en_US.UTF-8
ENTRYPOINT ["/usr/bin/python3"]
python/v3.6.8/base/v1.0/building2.log 0 → 100644
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#1 [internal] load build definition from Dockerfile
#1 sha256:1ea32d86db224fe297045bfb80357f4217a800e82f1fdc735891b1461725280f
#1 transferring dockerfile: 1.79kB 0.0s done
#1 DONE 0.0s
#2 [internal] load .dockerignore
#2 sha256:4140a9584d4f6b0cdf93cbff20f793bf39e878d6446d620dfd716ef73ca26d17
#2 transferring context: 2B done
#2 DONE 0.0s
#3 [internal] load metadata for docker.io/library/python:3.6.8
#3 sha256:ee07e0303bd08c1ee97b32d9c6ade02e5edf0a355cb184d0a9e362c7a86561c4
#3 ...
#4 [auth] library/python:pull token for registry-1.docker.io
#4 sha256:1667b51744f495e1f87951272c53e4a1369ee8c3d8085f136095b4b1fab857d1
#4 DONE 0.0s
#3 [internal] load metadata for docker.io/library/python:3.6.8
#3 sha256:ee07e0303bd08c1ee97b32d9c6ade02e5edf0a355cb184d0a9e362c7a86561c4
#3 DONE 1.4s
#5 [1/2] FROM docker.io/library/python:3.6.8@sha256:f20a9bfddd87c238c3d2316b4179222f219090cbb25d5b6975070d4dd4b75004
#5 sha256:bd1d82c5fd332f4f14b23d3d0a3e51068fdcf785aae752b0001a2022490a20da
#5 resolve docker.io/library/python:3.6.8@sha256:f20a9bfddd87c238c3d2316b4179222f219090cbb25d5b6975070d4dd4b75004 done
#5 sha256:f20a9bfddd87c238c3d2316b4179222f219090cbb25d5b6975070d4dd4b75004 2.38kB / 2.38kB done
#5 sha256:48c06762acf0bb8fa6a7f10686f3430cc3d149cf798556c138a82ded6c61e438 7.38kB / 7.38kB done
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 0B / 45.34MB 0.1s
#5 sha256:494c27a8a6b820f9167ec7e368b3a9bb47d7029f4dc8c97c67091f3757a5bc4e 0B / 10.79MB 0.1s
#5 sha256:e2b625c433e2e3c9a72eb92483c7e6ebe32163e320258f6a60badc44d9eb2806 2.22kB / 2.22kB done
#5 sha256:7596bb83081b6c8410df557d538a0ae45922cbf81e469c6f4cfa835247cb24ab 0B / 4.34MB 0.1s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 3.15MB / 45.34MB 0.2s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 6.29MB / 45.34MB 0.3s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 9.44MB / 45.34MB 0.5s
#5 sha256:494c27a8a6b820f9167ec7e368b3a9bb47d7029f4dc8c97c67091f3757a5bc4e 1.05MB / 10.79MB 0.5s
#5 sha256:7596bb83081b6c8410df557d538a0ae45922cbf81e469c6f4cfa835247cb24ab 3.15MB / 4.34MB 0.5s
#5 sha256:494c27a8a6b820f9167ec7e368b3a9bb47d7029f4dc8c97c67091f3757a5bc4e 3.15MB / 10.79MB 0.6s
#5 sha256:7596bb83081b6c8410df557d538a0ae45922cbf81e469c6f4cfa835247cb24ab 4.19MB / 4.34MB 0.6s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 13.63MB / 45.34MB 0.7s
#5 sha256:494c27a8a6b820f9167ec7e368b3a9bb47d7029f4dc8c97c67091f3757a5bc4e 5.24MB / 10.79MB 0.7s
#5 sha256:7596bb83081b6c8410df557d538a0ae45922cbf81e469c6f4cfa835247cb24ab 4.34MB / 4.34MB 0.7s done
#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 0B / 50.07MB 0.7s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 17.83MB / 45.34MB 0.9s
#5 sha256:494c27a8a6b820f9167ec7e368b3a9bb47d7029f4dc8c97c67091f3757a5bc4e 9.44MB / 10.79MB 0.9s
#5 sha256:494c27a8a6b820f9167ec7e368b3a9bb47d7029f4dc8c97c67091f3757a5bc4e 10.79MB / 10.79MB 1.0s done
#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 3.15MB / 50.07MB 1.0s
#5 sha256:615db220d76c063138a2e6c5849703a7a80d682a682f7e1a841e6e7ed5f43879 0B / 215.08MB 1.0s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 22.02MB / 45.34MB 1.1s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 25.17MB / 45.34MB 1.3s
#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 8.39MB / 50.07MB 1.3s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 28.31MB / 45.34MB 1.5s
#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 11.53MB / 50.07MB 1.5s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 32.51MB / 45.34MB 1.8s
#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 15.73MB / 50.07MB 1.8s
#5 sha256:615db220d76c063138a2e6c5849703a7a80d682a682f7e1a841e6e7ed5f43879 11.53MB / 215.08MB 1.9s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 35.65MB / 45.34MB 2.0s
#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 18.87MB / 50.07MB 2.0s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 38.80MB / 45.34MB 2.2s
#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 22.02MB / 50.07MB 2.2s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 42.99MB / 45.34MB 2.5s
#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 26.21MB / 50.07MB 2.5s
#5 sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 45.34MB / 45.34MB 2.6s done
#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 30.41MB / 50.07MB 2.7s
#5 sha256:615db220d76c063138a2e6c5849703a7a80d682a682f7e1a841e6e7ed5f43879 24.12MB / 215.08MB 2.7s
#5 extracting sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 0.1s
#5 sha256:1865698adfb04b47d1aa53e0f8dac0a511d78285cb4dda39b4f3b0b3b091bb2e 0B / 5.75MB 2.7s
#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 34.60MB / 50.07MB 2.9s
#5 sha256:1865698adfb04b47d1aa53e0f8dac0a511d78285cb4dda39b4f3b0b3b091bb2e 2.10MB / 5.75MB 3.0s
#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 37.75MB / 50.07MB 3.1s
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#5 sha256:1865698adfb04b47d1aa53e0f8dac0a511d78285cb4dda39b4f3b0b3b091bb2e 5.75MB / 5.75MB 3.2s done
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#5 sha256:372744b62d49eba993652ee4a1201801fe278b687d85489101e07e7b9a4900e0 44.04MB / 50.07MB 3.5s
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#5 sha256:ad0713808ef687d1e541819f50497506f5dce12604d1af54dbae153d61d5cf21 240B / 240B 4.0s done
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#5 sha256:7159b3304cc0ff68a7903c2660aa37fdae97a02164449400c6ef283a6aaf3879 19.92MB / 20.98MB 4.5s
#5 extracting sha256:6f2f362378c5a6fd915d96d11dda1e0223ccf213bf121ace56ae0f6616ea1dc8 1.8s done
#5 sha256:7159b3304cc0ff68a7903c2660aa37fdae97a02164449400c6ef283a6aaf3879 20.98MB / 20.98MB 4.6s done
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#5 extracting sha256:494c27a8a6b820f9167ec7e368b3a9bb47d7029f4dc8c97c67091f3757a5bc4e 0.3s done
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#5 sha256:615db220d76c063138a2e6c5849703a7a80d682a682f7e1a841e6e7ed5f43879 77.59MB / 215.08MB 5.2s
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#5 DONE 23.3s
#6 [2/2] RUN echo "\n\n\n\n================\n\nPIP PACKAGES INSTALLED\n\n================\n\n\n\n" >> /building.log && pip list >> /building.log ENV LC_ALL en_US.UTF-8
#6 sha256:a378f6322ddb7d1a3630e088674cbf0828d5a6a881068098789bcf350b01ec49
#6 1.167 WARNING: You are using pip version 19.1.1, however version 21.3.1 is available.
#6 1.167 You should consider upgrading via the 'pip install --upgrade pip' command.
#6 DONE 1.6s
#7 exporting to image
#7 sha256:e8c613e07b0b7ff33893b694f7759a10d42e180f2b4dc349fb57dc6b71dcab00
#7 exporting layers 0.1s done
#7 writing image sha256:c254f2d4e4274928cf226aacd0202206da862df9e2f26f188be9e91e443fbbef done
#7 naming to docker.io/gmillot/python_v3.8.6_base_v1.0:gitlab_v8.6 done
#7 DONE 0.1s
python/v3.6.8/serpentine/v1.0/Dockerfile 0 → 100644
+ 51
− 0
View file @ c2349f58
#########################################################################
## ##
## Dockerfile ##
## Python Serpentine ##
## ##
## Gael A. Millot ##
## Bioinformatics and Biostatistics Hub ##
## Computational Biology Department ##
## Institut Pasteur Paris ##
## ##
#########################################################################
# to see the log of the building:
# sudo docker run -ti --entrypoint bash <IMAGE_NAME>
# cat building.log
# to export the log file of the image building from the container:
# sudo docker images
# sudo docker run -ti --entrypoint bash <IMAGE_NAME>
# exit
# sudo docker container ls -a # to get all the active containers
# sudo docker cp <containerNAMES>:/building.log </host/path/target>
FROM gmillot/python_v3.8.6_base_v1.0:gitlab_v8.6
LABEL Gael.Millot=gael.millot@pasteur.fr
LABEL gitlab.dockerfiles="https://gitlab.pasteur.fr/gmillot/dockerfiles"
ENV PY_LIB="\
numpy \
pandas \
python-dateutil \
serpentine \
"
# install the packages
RUN echo "\n\n\n\n================\n\npip install\n\n================\n\n\n\n" > /building.log \
&& pip install $PY_LIB | tee -a /building.log \
&& echo "\n\n\n\n================\n\nPIP PACKAGES INSTALLED\n\n================\n\n\n\n" >> /building.log \
&& pip list >> /building.log \
# end install the packages
# inactivated packages because are in the base installation
ENV LC_ALL en_US.UTF-8
ENV LANG en_US.UTF-8
ENV LANGUAGE en_US.UTF-8
ENV LC_NUMERIC en_US.UTF-8
ENTRYPOINT ["/usr/bin/python3"]
python/v3.6.8/serpentine/v1.0/building2.log 0 → 100644
+ 69
− 0
View file @ c2349f58
#1 [internal] load build definition from Dockerfile
#1 sha256:802ecf842ea158e19ad9ba548a328ee0935ea8461d681647109ff69d721fa95c
#1 transferring dockerfile: 2.04kB done
#1 DONE 0.0s
#2 [internal] load .dockerignore
#2 sha256:d7e5947f6e6e366ab2b4550e1a5f2c3102b993ab9a47646fbc83eb92d70d0800
#2 transferring context: 2B done
#2 DONE 0.0s
#3 [internal] load metadata for docker.io/gmillot/python_v3.8.6_base_v1.0:gitlab_v8.6
#3 sha256:b33fb8206f76ae5277e0b7a6b7832917f038f6329acdcc9d5d94ced4b75de867
#3 DONE 0.0s
#4 [1/2] FROM docker.io/gmillot/python_v3.8.6_base_v1.0:gitlab_v8.6
#4 sha256:8bf9463c98b06add90fdabce14f04cb3bd6309d32bfeeffe6e8e94f3a9677ccf
#4 DONE 0.0s
#5 [2/2] RUN echo "\n\n\n\n================\n\npip install\n\n================\n\n\n\n" > /building.log && pip install numpy pandas python-dateutil serpentine | tee -a /building.log && echo "\n\n\n\n================\n\nPIP PACKAGES INSTALLED\n\n================\n\n\n\n" >> /building.log && pip list >> /building.log ENV LC_ALL en_US.UTF-8
#5 sha256:318f4b1ddaad250e573f4eb75f894bac720550ae59380bc9f95a3d6bdae0ebba
#5 0.468 Collecting numpy
#5 1.045 Downloading https://files.pythonhosted.org/packages/14/32/d3fa649ad7ec0b82737b92fefd3c4dd376b0bb23730715124569f38f3a08/numpy-1.19.5-cp36-cp36m-manylinux2010_x86_64.whl (14.8MB)
#5 1.656 Collecting pandas
#5 1.952 Downloading https://files.pythonhosted.org/packages/c3/e2/00cacecafbab071c787019f00ad84ca3185952f6bb9bca9550ed83870d4d/pandas-1.1.5-cp36-cp36m-manylinux1_x86_64.whl (9.5MB)
#5 2.425 Collecting python-dateutil
#5 2.453 Downloading https://files.pythonhosted.org/packages/36/7a/87837f39d0296e723bb9b62bbb257d0355c7f6128853c78955f57342a56d/python_dateutil-2.8.2-py2.py3-none-any.whl (247kB)
#5 2.469 Collecting serpentine
#5 2.565 Downloading https://files.pythonhosted.org/packages/d8/a4/09b9d406ef9c0d03358349cb6ed3dc8bdfe33b9c33be236509cc57e9690c/serpentine-0.1.3-py3-none-any.whl
#5 2.576 Collecting pytz>=2017.2 (from pandas)
#5 2.721 Downloading https://files.pythonhosted.org/packages/60/2e/dec1cc18c51b8df33c7c4d0a321b084cf38e1733b98f9d15018880fb4970/pytz-2022.1-py2.py3-none-any.whl (503kB)
#5 2.806 Collecting six>=1.5 (from python-dateutil)
#5 2.832 Downloading https://files.pythonhosted.org/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl
#5 2.840 Collecting docopt (from serpentine)
#5 2.859 Downloading https://files.pythonhosted.org/packages/a2/55/8f8cab2afd404cf578136ef2cc5dfb50baa1761b68c9da1fb1e4eed343c9/docopt-0.6.2.tar.gz
#5 3.153 Collecting scipy (from serpentine)
#5 3.455 Downloading https://files.pythonhosted.org/packages/c8/89/63171228d5ced148f5ced50305c89e8576ffc695a90b58fe5bb602b910c2/scipy-1.5.4-cp36-cp36m-manylinux1_x86_64.whl (25.9MB)
#5 4.472 Collecting matplotlib (from serpentine)
#5 4.732 Downloading https://files.pythonhosted.org/packages/09/03/b7b30fa81cb687d1178e085d0f01111ceaea3bf81f9330c937fb6f6c8ca0/matplotlib-3.3.4-cp36-cp36m-manylinux1_x86_64.whl (11.5MB)
#5 5.190 Collecting pillow>=6.2.0 (from matplotlib->serpentine)
#5 5.681 Downloading https://files.pythonhosted.org/packages/7d/2a/2fc11b54e2742db06297f7fa7f420a0e3069fdcf0e4b57dfec33f0b08622/Pillow-8.4.0.tar.gz (49.4MB)
#5 7.849 Collecting pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 (from matplotlib->serpentine)
#5 7.936 Downloading https://files.pythonhosted.org/packages/d9/41/d9cfb4410589805cd787f8a82cddd13142d9bf7449d12adf2d05a4a7d633/pyparsing-3.0.8-py3-none-any.whl (98kB)
#5 7.952 Collecting kiwisolver>=1.0.1 (from matplotlib->serpentine)
#5 8.047 Downloading https://files.pythonhosted.org/packages/a7/1b/cbd8ae738719b5f41592a12057ef5442e2ed5f5cb5451f8fc7e9f8875a1a/kiwisolver-1.3.1-cp36-cp36m-manylinux1_x86_64.whl (1.1MB)
#5 8.096 Collecting cycler>=0.10 (from matplotlib->serpentine)
#5 8.111 Downloading https://files.pythonhosted.org/packages/5c/f9/695d6bedebd747e5eb0fe8fad57b72fdf25411273a39791cde838d5a8f51/cycler-0.11.0-py3-none-any.whl
#5 8.118 Building wheels for collected packages: docopt, pillow
#5 8.118 Building wheel for docopt (setup.py): started
#5 8.359 Building wheel for docopt (setup.py): finished with status 'done'
#5 8.360 Stored in directory: /root/.cache/pip/wheels/9b/04/dd/7daf4150b6d9b12949298737de9431a324d4b797ffd63f526e
#5 8.365 Building wheel for pillow (setup.py): started
#5 22.71 Building wheel for pillow (setup.py): finished with status 'done'
#5 22.71 Stored in directory: /root/.cache/pip/wheels/a7/69/9a/bba9fca6782340f88dbc378893095722a663cbc618e58fe401
#5 22.79 Successfully built docopt pillow
#5 22.81 Installing collected packages: numpy, pytz, six, python-dateutil, pandas, docopt, scipy, pillow, pyparsing, kiwisolver, cycler, matplotlib, serpentine
#5 28.88 Successfully installed cycler-0.11.0 docopt-0.6.2 kiwisolver-1.3.1 matplotlib-3.3.4 numpy-1.19.5 pandas-1.1.5 pillow-8.4.0 pyparsing-3.0.8 python-dateutil-2.8.2 pytz-2022.1 scipy-1.5.4 serpentine-0.1.3 six-1.16.0
#5 29.07 WARNING: You are using pip version 19.1.1, however version 21.3.1 is available.
#5 29.07 You should consider upgrading via the 'pip install --upgrade pip' command.
#5 29.34 WARNING: You are using pip version 19.1.1, however version 21.3.1 is available.
#5 29.34 You should consider upgrading via the 'pip install --upgrade pip' command.
#5 DONE 29.5s
#6 exporting to image
#6 sha256:e8c613e07b0b7ff33893b694f7759a10d42e180f2b4dc349fb57dc6b71dcab00
#6 exporting layers
#6 exporting layers 1.6s done
#6 writing image sha256:87f8bebc2272a1411bbdee4e76b74c32444498c63bcf2ec2ab3d4d19c3a65d98 done
#6 naming to docker.io/gmillot/python_v3.8.6_serpentine_v1.0:gitlab_v8.6 done
#6 DONE 1.6s
python/v3.9.10/extended/v3.0/Dockerfile 0 → 100644
+ 48
− 0
View file @ c2349f58
#########################################################################
## ##
## Dockerfile ##
## Python extended ##
## ##
## Gael A. Millot ##
## Bioinformatics and Biostatistics Hub ##
## Computational Biology Department ##
## Institut Pasteur Paris ##
## ##
#########################################################################
# to see the log of the building:
# sudo docker run -ti --entrypoint bash <IMAGE_NAME>
# cat building.log
# to export the log file of the image building from the container:
# sudo docker images
# sudo docker run -ti --entrypoint bash <IMAGE_NAME>
# exit
# sudo docker container ls -a # to get all the active containers
# sudo docker cp <containerNAMES>:/building.log </host/path/target>
FROM gmillot/python_v3.9.10_extended_v2.0:gitlab_v8.4
LABEL Gael.Millot=gael.millot@pasteur.fr
LABEL gitlab.dockerfiles="https://gitlab.pasteur.fr/gmillot/dockerfiles"
ENV PY_LIB="\
cyvcf2 \
"
# install the packages
RUN echo "\n\n\n\n================\n\npip install\n\n================\n\n\n\n" > /building.log \
&& pip install $PY_LIB | tee -a /building.log \
&& echo "\n\n\n\n================\n\nPIP PACKAGES INSTALLED\n\n================\n\n\n\n" >> /building.log \
&& pip list >> /building.log \
# end install the packages
# inactivated packages because are in the base installation
ENV LC_ALL en_US.UTF-8
ENV LANG en_US.UTF-8
ENV LANGUAGE en_US.UTF-8
ENV LC_NUMERIC en_US.UTF-8
ENTRYPOINT ["/usr/bin/python3"]
python/v3.9.10/extended/v3.0/building.log 0 → 100644
+ 62
− 0
View file @ c2349f58
================
pip install
================
Collecting cyvcf2
Downloading cyvcf2-0.30.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB)
Requirement already satisfied: numpy in /usr/local/lib/python3.9/site-packages (from cyvcf2) (1.22.3)
Collecting click
Downloading click-8.1.3-py3-none-any.whl (96 kB)
Collecting coloredlogs
Downloading coloredlogs-15.0.1-py2.py3-none-any.whl (46 kB)
Collecting humanfriendly>=9.1
Downloading humanfriendly-10.0-py2.py3-none-any.whl (86 kB)
Installing collected packages: humanfriendly, coloredlogs, click, cyvcf2
Successfully installed click-8.1.3 coloredlogs-15.0.1 cyvcf2-0.30.15 humanfriendly-10.0
================
PIP PACKAGES INSTALLED
================
Package Version
------------------ ---------
bio 1.3.3
biopython 1.79
biothings-client 0.2.6
certifi 2021.10.8
charset-normalizer 2.0.12
click 8.1.3
coloredlogs 15.0.1
cyvcf2 0.30.15
humanfriendly 10.0
idna 3.3
mygene 3.2.2
numpy 1.22.3
pandas 1.4.1
pip 21.2.4
python-dateutil 2.8.2
pytz 2021.3
regex 2022.3.15
requests 2.27.1
setuptools 58.1.0
six 1.16.0
tqdm 4.63.0
urllib3 1.26.9
wheel 0.37.1
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